Khushbu Pahwa

According to our database, Khushbu Pahwa authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient adversarial debiasing with concept activation vector - Medical image case-studies.

Ramon Correa, Khushbu Pahwa, Bhavik N. Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee

J. Biomed. Informatics, January, 2024

2023

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking.

Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu

CoRR, 2023

Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing.

Sanae Amani, Khushbu Pahwa, Vladimir Braverman, Lin F. Yang

CoRR, 2023

FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering.

Megha Chakraborty, Khushbu Pahwa, Anku Rani, Adarsh Mahor, Aditya Pakala, Arghya Sarkar, Harshit Dave, Ishan Paul, Janvita Reddy, Preethi Gurumurthy, Ritvik G, Samahriti Mukherjee, Shreyas Chatterjee, Kinjal Sensharma, Dwip Dalal, Suryavardan S, Shreyash Mishra, Parth Patwa, Aman Chadha, Amit P. Sheth, Amitava Das

CoRR, 2023

Neural Architecture of Speech.

Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi

Proceedings of the IEEE International Conference on Acoustics, 2023

FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering.

Megha Chakraborty, Khushbu Pahwa, Anku Rani, Shreyas Chatterjee, Dwip Dalal, Harshit Dave, Ritvik G, Preethi Gurumurthy, Adarsh Mahor, Samahriti Mukherjee, Aditya Pakala, Ishan Paul, Janvita Reddy, Arghya Sarkar, Kinjal Sensharma, Aman Chadha, Amit P. Sheth, Amitava Das

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases.

Khushbu Pahwa, Ambika Sadhu, Mayank Sethi, Sargun Nagpal, Tavpritesh Sethi

CoRR, 2021

WiseR: An end-to-end structure learning and deployment framework for causal graphical models.

Shubham Maheshwari, Khushbu Pahwa, Tavpritesh Sethi

CoRR, 2021